Learn about vital statistics, focusing on data collection, analysis, and interpretation related to population health.

Learn how to create and analyze mathematical models using differential equations for real-world problem-solving.

In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!

In the last six years, the financial sector has seen an increase in the use of machine learning models in financial, banking and insurance contexts. Data science and advanced analytics teams in the financial and insurance community are implementing these models regularly and have found a place for them in their toolbox.

Can we characterize intelligent behavior? Are there theoretical foundations on which Artificial Intelligence can be grounded?

This first course in quantum computing is for novices and requires learners to have only basic algebra. It covers the future impacts of quantum computing, provides intuitive introductions of quantum physics phenomenon, and progresses from single operations to a complete algorithm.